Fractal Analysis of Satellite-Detected Urban Heat Island Effect

Weng, Qihao

doi:10.14358/pers.69.5.555

Cited by 213 publications

(107 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Urban form can also affect air quality by influencing local meteorology, including the urban heat island (UHI) effect, and the energy efficiency of buildings (Weng 2003;Ewing and Rong 2008). Urban spatial structure can influence ozone formation through two distinct mechanismsthe quantity of precursor emissions from vehicle travel and the meteorological effects of urban heat island formation (Stone 2008).…”

Section: Environmental Impacts Of Sprawlmentioning

confidence: 99%

Evaluating the dynamic impacts of urban form on transportation and environmental outcomes in US cities

Kashem

Irawan

Wilson

2014

Int. J. Environ. Sci. Technol.

View full text Add to dashboard Cite

Previous urban sprawl studies have typically taken a cross-sectional approach without examining how sprawling urban areas are performing over time. Longitudinal studies of individual or household travel behavior and built-environment preference have made some progress in this direction, but very few studies have explored the longitudinal interaction of urban form with transportation and environmental outcomes. This study begins to fill this gap by evaluating the transportation and environmental impact dynamics of several key dimensions of urban sprawl: density, land use mix, centrality, and street connectivity. The central hypothesis is that while the built environment is durable and development patterns change slowly, the impacts of urban sprawl are dynamic rather than static and are accelerated in more sprawling cities relative to less sprawling cities. To test this hypothesis, a panel dataset of 7 years (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007) was developed for 60 Metropolitan Statistical Areas of the US and a hybrid modeling framework that incorporates fixed and random effects is applied to evaluate different transportation and environmental outcomes over time. We found that the influence of urban centrality or the strength of urban subcenters on the travel pattern of commuters and transit users is dynamic. This suggests that people living in cities with stronger centers drive less and use public transportation more over time. For environmental outcomes, we found that cities with higher density have experienced a significant decrease in ambient ozone and PM 2.5 concentrations after controlling city-specific variables.

show abstract

Section: Environmental Impacts Of Sprawlmentioning

confidence: 99%

Evaluating the dynamic impacts of urban form on transportation and environmental outcomes in US cities

Kashem

Irawan

Wilson

2014

Int. J. Environ. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…How can the urban thermal environment be assessed and improved? Thermal infrared (TIR) satellite remote sensing techniques have been increasingly applied in urban climate and environment studies and have made immense achievements, mainly for analyzing the land surface temperature (LST) patterns and their relationship with surface characteristics and for evaluating surface urban heat islands (SUHI) [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

An Unmanned Airship Thermal Infrared Remote Sensing System for Low-Altitude and High Spatial Resolution Monitoring of Urban Thermal Environments: Integration and an Experiment

et al. 2015

View full text Add to dashboard Cite

Satellite remote sensing data that lacks spatial resolution and timeliness is of limited ability to access urban thermal environment on a micro scale. This paper presents an unmanned airship low-altitude thermal infrared remote sensing system (UALTIRSS), which is composed of an unmanned airship, an onboard control and navigation subsystem, a task subsystem, a communication subsystem, and a ground-base station. Furthermore, an experimental method and an airborne-field experiment for collecting land surface temperature (LST) were designed and conducted. The LST pattern within 0.8-m spatial resolution and with root mean square error (RMSE) value of 2.63 °C was achieved and analyzed in the study region. Finally, the effects of surface types on the surrounding thermal environment were analyzed by LST profiles. Results show that the high thermal resolution imagery obtained from UALTIRSS can provide more detailed thermal information, which are conducive to classify fine urban material and assess surface urban heat island (SUHI). There is a significant positive correlation between the average LST of profiles and the percent impervious surface area (ISA%) with R 2 around 0.917. Overall, OPEN ACCESSRemote Sens. 2015, 7 14260UALTIRSS and the retrieval method were proved to be low-cost and feasible for studying micro urban thermal environments.

show abstract

“…Therefore, many studies used a multifractal model with at least two ranges of different scaling behaviors separated by a scale break [Sun et al, 2006]. Furthermore, the temporal development of scaling parameters could be assessed for example for seasonal changes in surface roughness due to the evolving vegetation [Pachepsky and Ritchie, 1998] or for changes in an urban heat island effect across several years and between different seasons of a year in a Chinese city [Weng, 2003].…”

Section: Introductionmentioning

confidence: 99%

Persistence in intra‐annual snow depth distribution: 2. Fractal analysis of snow depth development

Schirmer¹,

Lehning²

2011

Water Resources Research

View full text Add to dashboard Cite

[1] We present an analysis of high resolution laser scanning data of snow depths of three different slopes in the Wannengrat catchment (introduced in part 1) using omnidirectional and directional variograms for three specific terrain features; cross-loaded slopes, lee slopes, and windward slopes. A break in scaling behavior was observed in all subareas, which can be seen as the roughness scale of bare earth terrain which is modified by the snow cover. In the wind-protected lee slope a different scaling behavior was observed, compared to the two wind-exposed areas. The wind-exposed areas have a smaller ordinal intercept , a smaller short range fractal dimension D, and a larger scale break distance L than the wind-protected lee slope. Snow depth structure inherits characteristics of dominant NW storms, which results, e.g., in a trend toward larger break distances in the course of the accumulation season. This can be interpreted as a result of surface smoothing at increasing scales. Similar scaling characteristics were obtained for two different years at the end of the accumulation season. Since snow depth structure is altered strongly by NW storms, this inter-annual consistency may strongly depend on their frequency in an accumulation period. With the analysis of directional variograms anisotropies of fractal parameters were detected, which were related to dominant wind directions.Citation: Schirmer, M., and M. Lehning (2011), Persistence in intra-annual snow depth distribution: 2. Fractal analysis of snow depth development, Water Resour. Res., 47, W09517,

show abstract

Fractal Analysis of Satellite-Detected Urban Heat Island Effect

Cited by 213 publications

References 26 publications

Evaluating the dynamic impacts of urban form on transportation and environmental outcomes in US cities

Evaluating the dynamic impacts of urban form on transportation and environmental outcomes in US cities

An Unmanned Airship Thermal Infrared Remote Sensing System for Low-Altitude and High Spatial Resolution Monitoring of Urban Thermal Environments: Integration and an Experiment

Persistence in intra‐annual snow depth distribution: 2. Fractal analysis of snow depth development

Contact Info

Product

Resources

About